Blockchain – the technology behind bitcoin – is getting a lot of attention in the world of financial services, but its potential extends to virtually all industries. Explore what blockchain will mean for big data and your industry. Gain insights on:

Industry Expert: Employ Edge Computing to Analyze Data in Real Time at a Lower Cost

Edge computing allows you to process the data close to its source, rather than at a centralized location. This gives you the potential to leverage the power of the Internet of Things. Create a plan to:

Embrace wireless sensor networks and smart objects

Process data close to sensors and other data collection points

Analyze data in real-time

Process data more efficiently through the power of edge computing.

10:45 AM

Morning Break

Track A

11:15 AM

Case Study: Norton Rose Fulbright

Understand the Legal Landscape to Make the Most of AI While Staying on the Right Side of Regulations

Data lakes have the potential to improve access to data and increase the speed of analysis. Explore how your organization can use a data lake to turn data into actionable insight. Source an action plan to:

Integrate existing data into data lakes

Improve the accessibility of data without the structural limitations of warehouses

Use Artificial Intelligence and Machine Learning to Develop Autonomous Business Solutions

Faraz Zaidi

Advisor Health Analytics, Health Services,Region of Peel

Recent advances in AI and ML have led to the development of innovative solutions and capabilities for a variety of sectors such as Sales and Marketing, Financial Services, Automotive Industry and Healthcare Providers. Common goals and objectives pertaining to these domains are, respectively, ‘I want to make more money,’ ‘I want to have more clients,’ I want to develop a self-driving car,’ ‘I want to improve the health of my patients.’ Achieve these goals by:

Modeling these objectives as qualitative problems

Using advanced analytical and computational methods to develop solutions using state-of-the-art algorithms and
techniques

Overcoming the challenges organizations face is developing and implementing these solutions

As we enter the “Internet of Things” era, the increased availability data allows you to perform maintenance proactively. Embrace predictive maintenance to maintain your productivity and avoid lost revenues. Go back to the office with strategies to:

Integrate IoT data sources to improve maintenance decisions

Monitor equipment and facilities in real-time to anticipate maintenance needs

Establish a maintenance policy based on data to reduce costs

Reduce your unnecessary downtime with predictive maintenance.

12:30 PM

Networking Lunch

Track A

1:45 PM

Panel

Putting Analytics in the hands of Employees to Create a Data-Driven Organization

Jason Garay

Vice President, Analytics and Informatics,Cancer Care Ontario

Christian Rodericks

Director Analytics and Architecture,Cara Operations

,

Saad Rais

Lead Data Scientist,Ontario Ministry of Health and Long-Term Care

Data can provide essential insights to the wider business when employees have access to them. Empower employees by giving them access to data and analytics. Develop a plan to:

In order to receive support, big data programs must be able to show the value that the core business derives from them. Make the case for your big data program in cold, hard numbers. Take strategies back to your office to:

Identify the real costs of analytics programs

Discover and assess KPIs

Demonstrate the monetization of big data

Show the costs and benefits of your big data program to develop organizational support.

3:15 PM

Afternoon Break

3:45 PM

Industry Expert

Use Data Visualization to Better Communicate Information

Data, even when analyzed, is valueless, unless it can be understood and used by business leaders and frontline workers. Employ visualization to improve the way data is communicated so it can be better used across the business. Source practical tips to:

Transform complicated data sets into easily understood graphics

Use visualization to tell the story of data

Uncover insights not apparent in text format

Improve the way you communicate data through visualization.

4:15 PM

Keynote: Privacy by Design

Leveraging Privacy by Design to Achieve Your Business Needs through Big Data without Compromising Privacy

Dr. Ann Cavoukian

Distinguished Expert-in-Residence, Privacy by Design Centre of Excellence,Ryerson University

Organizations today are looking into how consumer, social media, and web traffic data can help drive business. However, companies need to be aware of the backlash involved and the privacy concerns that are brought to the forefront of big data discussions:

Each and every day, millions of people on Twitter reach out to brands looking for help. The opportunity to answer questions, engage in conversations, and respond to concerns in real time, 24/7 demands a new approach to customer care. Consumers insist on speed, transparency, and accuracy but that’s not easy at scale. Today, only 40% of Canadians say they see good customer service on social media, yet nearly 2/3 say the service they receive impacts their future purchase behaviour. This session will share:

New research insights and tips and tricks for how to improve engagement with your customers

A consumer-focused deep dive into the world of chatbots

Insights on how chatbots can help and what impact they have on customer care

Today, experiential learning doesn’t apply just to humans — machines are increasingly able to sense, reason, act and adapt based on learned experience. Create a framework to teach your AI to be smarter. Develop a plan to:

The City of Brampton has built and deployed several analytical solutions including interactive dashboards, data warehouse and master data. These solutions are bringing numerous benefits to Brampton’s constituents and staff such as more reliable public transportation, ridership increase, reduction in complains, faster service request resolution, faster response to complaints, increase in recreation programs enrolment, etc.
Solutions include:

Transit

Enforcement

Recreation

Fire

PMO

Service Brampton

This session will show the journey to Brampton’s information and analytics depicting how it was done, what was done, who did it, which solutions were delivered and which tools were used.

Use cloud tools as a cost effective way to test environments and deploy sophisticated big-data tools.

3:15 PM

Afternoon Break

3:45 PM

Case Study: Law Society of British Columbia

Proactive Regulation Powered by Data Analytics and Machine Learning

Thomas Kampioni

Manager, Information Services,The Law Society of British Columbia

Many non-profit regulatory bodies face a pressure of being an effective and efficient regulator but having limited funding. In order to achieve its organizational objectives and meet KPMs, organizations must take advantage of collected data and use machine learning to identify trends, patterns and certain indicators that are crucial in making informed decisions about the future. Take back to your office strategies to:

Introduce affordable machine learning solution to your organization

Use predictive analytics to optimize the usage of your resources and effectiveness of your programs and processes

Tell the story through data visualization

Take away practical ideas that you can apply to your organization on how to introduce proactive approach toward regulation and foster a data-driven culture.

Passenger air travel is expected to double across the globe over the next 20 years. How can airlines plan for this increased demand, while both controlling costs and providing innovative solutions that truly make air travel better. Learn how airlines can invest in Artificial Intelligence technologies to meet this demand.
Look at Artificial Intelligence technologies to:

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